Global In-Memory Database Market- Industry Analysis and forecast (2019-2026) – by Application, Data Type, Processing Type, Deployment Model, Organization Size, Vertical, and Region

Global In-Memory Database Market size is expected to grow at 18.9% throughout the forecast period, reaching nearly US$ 12.1 Bn by 2026. The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region. To know about the Research Methodology:-Request Free Sample Report In-memory databases are primarily used in big data management and business analytics where there is a need for storage and fast data access. In-memory databases are faster as compare to traditional databases. An in-memory database is a part of the computer main memory and needs just fewer instructions to access the data for writing and reading. Another advantage of an in-memory database system is its application in real-time embedded systems which are highly resource-constrained which have low processor computational capabilities and require small memory. Furthermore, A massive amount of data being generated from various industries, falling RAM prices, faster data processing are some of the major driving factors expected to propel the in-memory database market around the world. However, Lack of standards and memory space constraints are some of the restraining factors that may hinder the growth of the in-memory database market. The data security concerns and volatile nature of memory are some of the stumbling blocks in the adoption of in-memory database solutions. In applications, the transaction segment is expected to hold the larger market size during the forecast period, due to the rising e-commerce industry uses non-cash payments mode across the world increasing the transaction application, in the market. By the processing type segment is divided into Online Analytical Processing (OLAP), Online Transaction Processing (OLTP). Among these, OLAP systems are expected to grow at the highest CAGR during the forecast period. OLAP systems are typically deployed for reporting and Business Intelligence (BI), sales management, forecasting, and business process management. In-memory OLAP solutions help to address big data challenges for organizations. In terms of the deployment model, the On-premises deployment model is expected to hold a larger market share during the forecast period. The on-premises deployment model provides privacy parameters and confidentiality to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The on-demand deployment model is expected to grow at the highest CAGR during the forecast period, because of agility, cost-effectiveness, and affordability it offers to the end customer. According to the vertical segment, the BFSI segment is expected to have a large market size during the forecast period in the vertical segment. However, the retail and consumer goods industry is likely to grow at the highest CAGR during the forecast period, as on account of the rising need for the rapid data processing which is the need of the day for the retail stores to stay competitive. Region-wise, the market in North America is expected to hold the largest in-memory database market share during the forecast period, as North America is the most advanced region in terms of technology adoption and infrastructure. North America is responsible for the presence of technical experts, and growing demands for in-memory database market solutions in this region. The Asia Pacific regions expected to reach at the highest CAGR of XX% during the forecast period. The objective of the report is to present a comprehensive analysis of the Global In-Memory Database Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants by Region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by Region on the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global In-Memory Database Market dynamics, structure by analyzing the market segments and project the Global In-Memory Database Market size. Clear representation of competitive analysis of key players by Type, price, financial position, Product portfolio, growth strategies, and regional presence in the Global In-Memory Database Market make the report investor’s guide.

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Global In-Memory database market, by Application:

• Transaction • Reporting • Analytics • Others

Global In-Memory database market, by Data Type:

• Relational • NoSQL • NewSQL

Global In-Memory database market, by Processing Type:

• Online Analytical Processing (OLAP) • Online Transaction Processing (OLTP)

Global In-Memory database market, by Deployment Model:

• On-Premises • On-Demand

Global In-Memory database market, by Organization Size:

• Large Enterprises • Small and Medium Enterprises

Global In-Memory database market, by Vertical:

• BFSI • Healthcare and Life Sciences • Government and Defense • Transportation and Logistics • Retail and Consumer Goods • Manufacturing • IT and Telecommunication • Energy and Utility • Others

Global In-Memory database market, by Region:

• North America • Europe • Asia-Pacific (APAC) • LAMEA

Key Players of the Global In-Memory Database Market:

• IBM Corporation • Microsoft Corporation • SAP SE • Oracle Corporation • Teradata Corporation • Amazon Web Services • Tableau Software • Kognitio Ltd. • VoltDB • DataStax • ENEA • McObject LLC • Altibase Corporation • Activeviam • Aerospike • MemSQL • Sqlite • Starcounter • Pointillist • Quadient • Kitewheel
Global In-Memory database Market 1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 1.4. Key Questions Answered 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations Used 2.3. Research Methodology 3. Executive Summary 3.1. Global In-Memory database Market Size, by Market Value (US$ Bn) and Market, by Region 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.3. Drivers and Restraints Snapshot Analysis 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.3.4. Porter’s Analysis 4.3.5. Value Chain Analysis 4.3.6. SWOT Analysis 5. Global In-Memory database Market Analysis and Forecast 5.1. Global In-Memory database Market Analysis and Forecast 5.2. Global In-Memory database Market Size & Y-o-Y Growth Analysis 5.2.1. North America 5.2.2. Europe 5.2.3. Asia Pacific 5.2.4. Middle East & Africa 5.2.5. Latin America 6. Global In-Memory database Market Analysis and Forecast, by Application 6.1. Introduction and Definition 6.2. Key Findings 6.3. Global In-Memory database Market Value Share Analysis, by Application 6.4. Market Size (US$ Bn) Forecast, by Application 6.5. Global In-Memory database Market Analysis, by Application 6.6. Global In-Memory database Market Attractiveness Analysis, by Application 7. Global In-Memory database Market Analysis and Forecast, by Data Type 7.1. Introduction and Definition 7.2. Global In-Memory database Market Value Share Analysis, by Data Type 7.3. Market Size (US$ Bn) Forecast, by Data Type 7.4. Global In-Memory database Market Analysis, by Data Type 7.5. Global In-Memory database Market Attractiveness Analysis, by Data Type 8. Global In-Memory database Market Analysis and Forecast, by Processing Type 8.1. Introduction and Definition 8.2. Global In-Memory database Market Value Share Analysis, by Processing Type 8.3. Market Size (US$ Bn) Forecast, by Processing Type 8.4. Global In-Memory database Market Analysis, by Processing Type 8.5. Global In-Memory database Market Attractiveness Analysis, by Processing Type 9. Global In-Memory database Market Analysis and Forecast, by Deployment Model 9.1. Introduction and Definition 9.2. Global In-Memory database Market Value Share Analysis, by Deployment Model 9.3. Market Size (US$ Bn) Forecast, by Deployment Model 9.4. Global In-Memory database Market Analysis, by Deployment Model 9.5. Global In-Memory database Market Attractiveness Analysis, by Deployment Model 10. Global In-Memory database Market Analysis and Forecast, by Organization Size 10.1. Introduction and Definition 10.2. In-Memory database Market Value Share Analysis, by Organization Size 10.3. Market Size (US$ Bn) Forecast, by Organization Size 10.4. In-Memory database Market Analysis, by Organization Size 10.5. In-Memory database Market Attractiveness Analysis, by Organization Size 11. Global In-Memory database Market Analysis and Forecast, by Vertical 11.1. Introduction and Definition 11.2. In-Memory database Market Value Share Analysis, by Vertical 11.3. Market Size (US$ Bn) Forecast, by Vertical 11.4. In-Memory database Market Analysis, by Vertical 11.5. In-Memory database Market Attractiveness Analysis, by Vertical 12. Global In-Memory database Market Analysis, by Region 12.1. Global In-Memory database Market Value Share Analysis, by Region 12.2. Market Size (US$ Bn) Forecast, by Region 12.3. Global In-Memory database Market Attractiveness Analysis, by Region 13. North America In-Memory database Market Analysis 13.1. Key Findings 13.2. North America In-Memory database Market Overview 13.3. North America In-Memory database Market Value Share Analysis, by Application 13.4. North America In-Memory database Market Forecast, by Application 13.4.1. Transaction 13.4.2. Reporting 13.4.3. Analytics 13.4.4. Others 13.5. North America In-Memory database Market Value Share Analysis, by Data Type 13.6. North America In-Memory database Market Forecast, by Data Type 13.6.1. Relational 13.6.2. NoSQL 13.6.3. NewSQL 13.6.4. Managed Deployment Models and Web-based Application Programming Interface 13.7. North America In-Memory database Market Value Share Analysis, by Processing Type 13.8. North America In-Memory database Market Forecast, by Processing Type 13.8.1. Online Analytical Processing (OLAP) 13.8.2. Online Transaction Processing (OLTP) 13.9. North America In-Memory database Market Value Share Analysis, by Deployment Model 13.10. North America In-Memory database Market Forecast, by Deployment Model 13.10.1. On-Premises 13.10.2. On-Demand 13.11. North America In-Memory database Market Value Share Analysis, by Organization Size 13.12. North America In-Memory database Market Forecast, by Organization Size 13.12.1. Small & Medium Enterprises 13.12.2. Large Enterprises 13.13. North America In-Memory database Market Value Share Analysis, by Vertical 13.14. North America In-Memory database Market Forecast, by Vertical 13.14.1. Government and Defense 13.14.2. Manufacturing 13.14.3. Banking, Financial Deployment Models, and Insurance (BFSI) 13.14.4. Energy and Utilities 13.14.5. IT and Telecommunications 13.15. North America In-Memory database Market Value Share Analysis, by Country 13.16. North America In-Memory database Market Forecast, by Country 13.16.1.1. U.S., 2019–2026 13.16.1.2. Canada, 2019–2026 13.17. North America In-Memory database Market Analysis, by Country 13.18. U.S. In-Memory database Market Forecast, by Application 13.18.1. Transaction 13.18.2. Reporting 13.18.3. Analytics 13.18.4. Others 13.19. U.S. In-Memory database Market Forecast, by Data Type 13.19.1. Relational 13.19.2. NoSQL 13.19.3. NewSQL 13.19.4. Managed Deployment Models and Web-based Application Programming Interface 13.20. U.S. In-Memory database Market Forecast, by Processing Type 13.20.1. Online Analytical Processing (OLAP) 13.20.2. Online Transaction Processing (OLTP) 13.21. U.S. In-Memory database Market Forecast, by Deployment Model 13.21.1. On-Premises 13.21.2. On-Demand 13.22. U.S. In-Memory database Market Forecast, by Organization Size 13.22.1. Small & Medium Enterprises 13.22.2. Large Enterprises 13.23. U.S. In-Memory database Market Forecast, by Vertical 13.23.1. Government and Defense 13.23.2. Manufacturing 13.23.3. Banking, Financial Deployment Models, and Insurance (BFSI) 13.23.4. Energy and Utilities 13.23.5. IT and Telecommunications 13.24. Canada In-Memory database Market Forecast, by Application 13.24.1. Transaction 13.24.2. Reporting 13.24.3. Analytics 13.24.4. Others 13.25. Canada In-Memory database Market Forecast, by Data Type 13.25.1. Relational 13.25.2. NoSQL 13.25.3. NewSQL 13.25.4. Managed Deployment Models and Web-based Application Programming Interface 13.26. Canada In-Memory database Market Forecast, by Processing Type 13.26.1. Online Analytical Processing (OLAP) 13.26.2. Online Transaction Processing (OLTP) 13.27. Canada In-Memory database Market Forecast, by Deployment Model 13.27.1. On-Premises 13.27.2. On-Demand 13.28. Canada In-Memory database Market Forecast, by Organization Size 13.28.1. Small & Medium Enterprises 13.28.2. Large Enterprises 13.29. Canada In-Memory database Market Forecast, by Vertical 13.29.1. Government and Defense 13.29.2. Manufacturing 13.29.3. Banking, Financial Deployment Models, and Insurance (BFSI) 13.29.4. Energy and Utilities 13.29.5. IT and Telecommunications 13.30. North America In-Memory database Market Attractiveness Analysis 13.30.1. By Application 13.30.2. By Data Type 13.30.3. By Processing Type 13.30.4. By Deployment Model 13.30.5. By Organization Size 13.30.6. By Vertical 13.31. PEST Analysis 14. Europe In-Memory database Market Analysis 14.1. Key Findings 14.2. Europe In-Memory database Market Overview 14.3. Europe In-Memory database Market Value Share Analysis, by Application 14.4. Europe In-Memory database Market Forecast, by Application 14.4.1. Transaction 14.4.2. Reporting 14.4.3. Analytics 14.4.4. Others 14.5. Europe In-Memory database Market Value Share Analysis, by Data Type 14.6. Europe In-Memory database Market Forecast, by Data Type 14.6.1. Relational 14.6.2. NoSQL 14.6.3. NewSQL 14.6.4. Managed Deployment Models and Web-based Application Programming Interface 14.7. Europe In-Memory database Market Value Share Analysis, by Processing Type 14.8. Europe In-Memory database Market Forecast, by Processing Type 14.8.1. Online Analytical Processing (OLAP) 14.8.2. Online Transaction Processing (OLTP) 14.9. Europe In-Memory database Market Value Share Analysis, by Deployment Model 14.10. Europe In-Memory database Market Forecast, by Deployment Model 14.10.1. On-Premises 14.10.2. On-Demand 14.11. Europe In-Memory database Market Value Share Analysis, by Organization Size 14.12. Europe In-Memory database Market Forecast, by Organization Size 14.12.1. Small & Medium Enterprises 14.12.2. Large Enterprises 14.13. Europe In-Memory database Market Value Share Analysis, by Vertical 14.14. Europe In-Memory database Market Forecast, by Vertical 14.14.1. Government and Defense 14.14.2. Manufacturing 14.14.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.14.4. Energy and Utilities 14.14.5. IT and Telecommunications 14.15. Europe In-Memory database Market Value Share Analysis, by Country 14.16. Europe In-Memory database Market Forecast, by Country 14.16.1.1. Germany 14.16.1.2. U.K. 14.16.1.3. France 14.16.1.4. Italy 14.16.1.5. Spain 14.16.1.6. Rest of Europe 14.17. Europe In-Memory database Market Analysis, by Country/ Sub-region 14.18. Germany In-Memory database Market Forecast, by Application 14.18.1. Transaction 14.18.2. Reporting 14.18.3. Analytics 14.18.4. Others 14.19. Germany In-Memory database Market Forecast, by Data Type 14.19.1. Relational 14.19.2. NoSQL 14.19.3. NewSQL 14.19.4. Managed Deployment Models and Web-based Application Programming Interface 14.20. Germany In-Memory database Market Forecast, by Processing Type 14.20.1. Online Analytical Processing (OLAP) 14.20.2. Online Transaction Processing (OLTP) 14.21. Germany In-Memory database Market Forecast, by Deployment Model 14.21.1. On-Premises 14.21.2. On-Demand 14.22. Germany In-Memory database Market Forecast, by Organization Size 14.22.1. Small & Medium Enterprises 14.22.2. Large Enterprises 14.23. Germany In-Memory database Market Forecast, by Vertical 14.23.1. Government and Defense 14.23.2. Manufacturing 14.23.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.23.4. Energy and Utilities 14.23.5. IT and Telecommunications 14.24. U.K. In-Memory database Market Forecast, by Application 14.24.1. Transaction 14.24.2. Reporting 14.24.3. Analytics 14.24.4. Others 14.25. U.K. In-Memory database Market Forecast, by Data Type 14.25.1. Relational 14.25.2. NoSQL 14.25.3. NewSQL 14.25.4. Managed Deployment Models and Web-based Application Programming Interface 14.26. U.K. In-Memory database Market Forecast, by Processing Type 14.26.1. Online Analytical Processing (OLAP) 14.26.2. Online Transaction Processing (OLTP) 14.27. U.K. In-Memory database Market Forecast, by Deployment Model 14.27.1. On-Premises 14.27.2. On-Demand 14.28. U.K. In-Memory database Market Forecast, by Organization Size 14.28.1. Small & Medium Enterprises 14.28.2. Large Enterprises 14.29. U.K. In-Memory database Market Forecast, by Vertical 14.29.1. Government and Defense 14.29.2. Manufacturing 14.29.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.29.4. Energy and Utilities 14.29.5. IT and Telecommunications 14.30. France In-Memory database Market Forecast, by Application 14.30.1. Transaction 14.30.2. Reporting 14.30.3. Analytics 14.30.4. Others 14.31. France In-Memory database Market Forecast, by Data Type 14.31.1. Relational 14.31.2. NoSQL 14.31.3. NewSQL 14.31.4. Managed Deployment Models and Web-based Application Programming Interface 14.32. France In-Memory database Market Forecast, by Processing Type 14.32.1. Online Analytical Processing (OLAP) 14.32.2. Online Transaction Processing (OLTP) 14.33. France In-Memory database Market Forecast, by Deployment Model 14.33.1. On-Premises 14.33.2. On-Demand 14.34. France In-Memory database Market Forecast, by Organization Size 14.34.1. Small & Medium Enterprises 14.34.2. Large Enterprises 14.35. France In-Memory database Market Forecast, by Vertical 14.36. Government and Defense 14.37. Manufacturing 14.38. Banking, Financial Deployment Models, and Insurance (BFSI) 14.39. Energy and Utilities 14.40. IT and Telecommunications 14.41. Italy In-Memory database Market Forecast, by Application 14.41.1. Transaction 14.41.2. Reporting 14.41.3. Analytics 14.41.4. Others 14.42. Italy In-Memory database Market Forecast, by Data Type 14.42.1. Relational 14.42.2. NoSQL 14.42.3. NewSQL 14.42.4. Managed Deployment Models and Web-based Application Programming Interface 14.43. Italy In-Memory database Market Forecast, by Processing Type 14.43.1. Online Analytical Processing (OLAP) 14.43.2. Online Transaction Processing (OLTP) 14.44. Italy In-Memory database Market Forecast, by Deployment Model 14.44.1. On-Premises 14.44.2. On-Demand 14.45. Italy In-Memory database Market Forecast, by Organization Size 14.45.1. Small & Medium Enterprises 14.45.2. Large Enterprises 14.46. Italy In-Memory database Market Forecast, by Vertical 14.46.1. Government and Defense 14.46.2. Manufacturing 14.46.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.46.4. Energy and Utilities 14.46.5. IT and Telecommunications 14.47. Spain In-Memory database Market Forecast, by Application 14.47.1. Transaction 14.47.2. Reporting 14.47.3. Analytics 14.47.4. Others 14.48. Spain In-Memory database Market Forecast, by Data Type 14.48.1. Relational 14.48.2. NoSQL 14.48.3. NewSQL 14.48.4. Managed Deployment Models and Web-based Application Programming Interface 14.49. Spain In-Memory database Market Forecast, by Processing Type 14.49.1. Online Analytical Processing (OLAP) 14.49.2. Online Transaction Processing (OLTP) 14.50. Spain In-Memory database Market Forecast, by Deployment Model 14.50.1. On-Premises 14.50.2. On-Demand 14.51. Spain In-Memory database Market Forecast, by Organization Size 14.51.1. Small & Medium Enterprises 14.51.2. Large Enterprises 14.52. Spain In-Memory database Market Forecast, by Vertical 14.52.1. Government and Defense 14.52.2. Manufacturing 14.52.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.52.4. Energy and Utilities 14.52.5. IT and Telecommunications 14.53. Rest of Europe In-Memory database Market Forecast, by Application 14.53.1. Transaction 14.53.2. Reporting 14.53.3. Analytics 14.53.4. Others 14.54. Rest of Europe In-Memory database Market Forecast, by Data Type 14.54.1. Relational 14.54.2. NoSQL 14.54.3. NewSQL 14.54.4. Managed Deployment Models and Web-based Application Programming Interface 14.55. Rest of Europe In-Memory database Market Forecast, by Processing Type 14.55.1. Online Analytical Processing (OLAP) 14.55.2. Online Transaction Processing (OLTP) 14.56. Rest Of Europe In-Memory database Market Forecast, by Deployment Model 14.56.1. On-Premises 14.56.2. On-Demand 14.57. Rest Of Europe In-Memory database Market Forecast, by Organization Size 14.57.1. Small & Medium Enterprises 14.57.2. Large Enterprises 14.58. Rest Of Europe In-Memory database Market Forecast, by Vertical 14.58.1. Government and Defense 14.58.2. Manufacturing 14.58.3. Banking, Financial Deployment Models, and Insurance (BFSI) 14.58.4. Energy and Utilities 14.58.5. IT and Telecommunications 14.59. Europe In-Memory database Market Attractiveness Analysis 14.59.1. By Application 14.59.2. By Data Type 14.59.3. By Processing Type 14.59.4. By Deployment Model 14.59.5. By Organization Size 14.59.6. By Vertical 14.60. PEST Analysis 15. Asia Pacific In-Memory database Market Analysis 15.1. Key Findings 15.2. Asia Pacific In-Memory database Market Overview 15.3. Asia Pacific In-Memory database Market Value Share Analysis, by Application 15.4. Asia Pacific In-Memory database Market Forecast, by Application 15.4.1. Transaction 15.4.2. Reporting 15.4.3. Analytics 15.4.4. Others 15.5. Asia Pacific In-Memory database Market Value Share Analysis, by Data Type 15.6. Asia Pacific In-Memory database Market Forecast, by Data Type 15.6.1. Relational 15.6.2. NoSQL 15.6.3. NewSQL 15.6.4. Managed Deployment Models and Web-based Application Programming Interface 15.7. Asia Pacific In-Memory database Market Value Share Analysis, by Processing Type 15.8. Asia Pacific In-Memory database Market Forecast, by Processing Type 15.8.1. Online Analytical Processing (OLAP) 15.8.2. Online Transaction Processing (OLTP) 15.9. Asia Pacific In-Memory database Market Value Share Analysis, by Deployment Model 15.10. Asia Pacific In-Memory database Market Forecast, by Deployment Model 15.10.1. On-Premises 15.10.2. On-Demand 15.11. Asia Pacific In-Memory database Market Value Share Analysis, by Organization Size 15.12. Asia Pacific In-Memory database Market Forecast, by Organization Size 15.12.1. Small & Medium Enterprises 15.12.2. Large Enterprises 15.13. Asia Pacific In-Memory database Market Value Share Analysis, by Vertical 15.14. Asia Pacific In-Memory database Market Forecast, by Vertical 15.14.1. Government and Defense 15.14.2. Manufacturing 15.14.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.14.4. Energy and Utilities 15.14.5. IT and Telecommunications 15.15. Asia Pacific In-Memory database Market Value Share Analysis, by Country 15.16. Asia Pacific In-Memory database Market Forecast, by Country 15.16.1. China, 2019–2026 15.16.2. India, 2019–2026 15.16.3. Japan, 2019–2026 15.16.4. ASEAN, 2019–2026 15.16.5. Rest of Asia Pacific, 2019–2026 15.17. Asia Pacific In-Memory database Market Analysis, by Country/ Sub-region 15.18. China In-Memory database Market Forecast, by Application 15.18.1. Transaction 15.18.2. Reporting 15.18.3. Analytics 15.18.4. Others 15.19. China In-Memory database Market Forecast, by Data Type 15.19.1. Relational 15.19.2. NoSQL 15.19.3. NewSQL 15.19.4. Managed Deployment Models and Web-based Application Programming Interface 15.20. China In-Memory database Market Forecast, by Processing Type 15.20.1. Online Analytical Processing (OLAP) 15.20.2. Online Transaction Processing (OLTP) 15.21. China In-Memory database Market Forecast, by Deployment Model 15.21.1. On-Premises 15.21.2. On-Demand 15.22. China In-Memory database Market Forecast, by Organization Size 15.22.1. Small & Medium Enterprises 15.22.2. Large Enterprises 15.23. China In-Memory database Market Forecast, by Vertical 15.23.1. Government and Defense 15.23.2. Manufacturing 15.23.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.23.4. Energy and Utilities 15.23.5. IT and Telecommunications 15.24. India In-Memory database Market Forecast, by Application 15.24.1. Transaction 15.24.2. Reporting 15.24.3. Analytics 15.24.4. Others 15.25. India In-Memory database Market Forecast, by Data Type 15.25.1. Relational 15.25.2. NoSQL 15.25.3. NewSQL 15.25.4. Managed Deployment Models and Web-based Application Programming Interface 15.26. India In-Memory database Market Forecast, by Processing Type 15.26.1. Online Analytical Processing (OLAP) 15.26.2. Online Transaction Processing (OLTP) 15.27. India In-Memory database Market Forecast, by Deployment Model 15.27.1. On-Premises 15.27.2. On-Demand 15.28. India In-Memory database Market Forecast, by Organization Size 15.28.1. Passenger Organization Size 15.28.2. Commercial Organization Size 15.29. India In-Memory database Market Forecast, by Vertical 15.29.1. Government and Defense 15.29.2. Manufacturing 15.29.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.29.4. Energy and Utilities 15.29.5. IT and Telecommunications 15.30. Japan In-Memory database Market Forecast, by Application 15.30.1. Transaction 15.30.2. Reporting 15.30.3. Analytics 15.30.4. Others 15.31. Japan In-Memory database Market Forecast, by Data Type 15.31.1. Relational 15.31.2. NoSQL 15.31.3. NewSQL 15.31.4. Managed Deployment Models and Web-based Application Programming Interface 15.32. Japan In-Memory database Market Forecast, by Processing Type 15.32.1. Online Analytical Processing (OLAP) 15.32.2. Online Transaction Processing (OLTP) 15.33. Japan In-Memory database Market Forecast, by Deployment Model 15.33.1. On-Premises 15.33.2. On-Demand 15.34. Japan In-Memory database Market Forecast, by Organization Size 15.34.1. Small & Medium Enterprises 15.34.2. Large Enterprises 15.35. Japan In-Memory database Market Forecast, by Vertical 15.35.1. Government and Defense 15.35.2. Manufacturing 15.35.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.35.4. Energy and Utilities 15.35.5. IT and Telecommunications 15.36. ASEAN In-Memory database Market Forecast, by Application 15.36.1. Transaction 15.36.2. Reporting 15.36.3. Analytics 15.36.4. Others 15.37. ASEAN In-Memory database Market Forecast, by Data Type 15.37.1. Relational 15.37.2. NoSQL 15.37.3. NewSQL 15.37.4. Managed Deployment Models and Web-based Application Programming Interface 15.38. ASEAN In-Memory database Market Forecast, by Processing Type 15.38.1. Online Analytical Processing (OLAP) 15.38.2. Online Transaction Processing (OLTP) 15.39. ASEAN In-Memory database Market Forecast, by Deployment Model 15.39.1. On-Premises 15.39.2. On-Demand 15.40. ASEAN In-Memory database Market Forecast, by Organization Size 15.40.1. Small & Medium Enterprises 15.40.2. Large Enterprises 15.41. ASEAN In-Memory database Market Forecast, by Vertical 15.41.1. Government and Defense 15.41.2. Manufacturing 15.41.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.41.4. Energy and Utilities 15.41.5. IT and Telecommunications 15.42. Rest of Asia Pacific In-Memory database Market Forecast, by Application 15.42.1. Transaction 15.42.2. Reporting 15.42.3. Analytics 15.42.4. Others 15.43. Rest of Asia Pacific In-Memory database Market Forecast, by Data Type 15.43.1. Relational 15.43.2. NoSQL 15.43.3. NewSQL 15.43.4. Managed Deployment Models and Web-based Application Programming Interface 15.44. Rest of Asia Pacific In-Memory database Market Forecast, by Processing Type 15.44.1. Online Analytical Processing (OLAP) 15.44.2. Online Transaction Processing (OLTP) 15.45. Rest of Asia Pacific In-Memory database Market Forecast, by Deployment Model 15.45.1. On-Premises 15.45.2. On-Demand 15.46. Rest of Asia Pacific In-Memory database Market Forecast, by Organization Size 15.46.1. Small & Medium Enterprises 15.46.2. Large Enterprises 15.47. Rest of Asia Pacific In-Memory database Market Forecast, by Vertical 15.47.1. Government and Defense 15.47.2. Manufacturing 15.47.3. Banking, Financial Deployment Models, and Insurance (BFSI) 15.47.4. Energy and Utilities 15.47.5. IT and Telecommunications 15.48. Asia Pacific In-Memory database Market Attractiveness Analysis 15.48.1. By Application 15.48.2. By Data Type 15.48.3. By Processing Type 15.48.4. By Deployment Model 15.48.5. By Organization Size 15.48.6. By Vertical 15.49. PEST Analysis 16. Middle East & Africa In-Memory database Market Analysis 16.1. Key Findings 16.2. Middle East & Africa In-Memory database Market Overview 16.3. Middle East & Africa In-Memory database Market Value Share Analysis, by Application 16.4. Middle East & Africa In-Memory database Market Forecast, by Application 16.4.1. Transaction 16.4.2. Reporting 16.4.3. Analytics 16.4.4. Others 16.5. Middle East & Africa In-Memory database Market Value Share Analysis, by Data Type 16.6. Middle East & Africa In-Memory database Market Forecast, by Data Type 16.6.1. Relational 16.6.2. NoSQL 16.6.3. NewSQL 16.6.4. Managed Deployment Models and Web-based Application Programming Interface 16.7. Middle East & Africa In-Memory database Market Value Share Analysis, by Processing Type 16.8. Middle East & Africa In-Memory database Market Forecast, by Processing Type 16.8.1. Online Analytical Processing (OLAP) 16.8.2. Online Transaction Processing (OLTP) 16.9. Middle East & Africa In-Memory database Market Value Share Analysis, by Deployment Model 16.10. Middle East & Africa In-Memory database Market Forecast, by Deployment Model 16.10.1. On-Premises 16.10.2. On-Demand 16.11. Middle East & Africa In-Memory database Market Value Share Analysis, by Organization Size 16.12. Middle East & Africa In-Memory database Market Forecast, by Organization Size 16.12.1. Small & Medium Enterprises 16.12.2. Large Enterprises 16.13. Middle East & Africa In-Memory database Market Value Share Analysis, by Vertical 16.14. Middle East & Africa In-Memory database Market Forecast, by Vertical 16.14.1. Government and Defense 16.14.2. Manufacturing 16.14.3. Banking, Financial Deployment Models, and Insurance (BFSI) 16.14.4. Energy and Utilities 16.14.5. IT and Telecommunications 16.15. Middle East & Africa In-Memory database Market Value Share Analysis, by Country 16.16. Middle East & Africa In-Memory database Market Forecast, by Country 16.16.1. GCC, 2019–2026 16.16.2. South Africa, 2019-2026 16.16.3. Rest of Middle East & Africa, 2019–2026 16.17. Middle East & Africa In-Memory database Market Analysis, by Country/ Sub-region 16.18. GCC In-Memory database Market Forecast, by Application 16.18.1. Transaction 16.18.2. Reporting 16.18.3. Analytics 16.18.4. Others 16.19. GCC In-Memory database Market Forecast, by Data Type 16.19.1. Relational 16.19.2. NoSQL 16.19.3. NewSQL 16.19.4. Managed Deployment Models and Web-based Application Programming Interface 16.20. GCC In-Memory database Market Forecast, by Processing Type 16.20.1. Online Analytical Processing (OLAP) 16.20.2. Online Transaction Processing (OLTP) 16.21. GCC In-Memory database Market Forecast, by Deployment Model 16.21.1. On-Premises 16.21.2. On-Demand 16.22. GCC In-Memory database Market Forecast, by Organization Size 16.22.1. Small & Medium Enterprises 16.22.2. Large Enterprises 16.23. GCC In-Memory database Market Forecast, by Vertical 16.23.1. Government and Defense 16.23.2. Manufacturing 16.23.3. Banking, Financial Deployment Models, and Insurance (BFSI) 16.23.4. Energy and Utilities 16.23.5. IT and Telecommunications 16.24. South Africa In-Memory database Market Forecast, by Application 16.24.1. Transaction 16.24.2. Reporting 16.24.3. Analytics 16.24.4. Others 16.25. South Africa In-Memory database Market Forecast, by Data Type 16.25.1. Relational 16.25.2. NoSQL 16.25.3. NewSQL 16.25.4. Managed Deployment Models and Web-based Application Programming Interface 16.26. South Africa In-Memory database Market Forecast, by Processing Type 16.26.1. Online Analytical Processing (OLAP) 16.26.2. Online Transaction Processing (OLTP) 16.27. South Africa In-Memory database Market Forecast, by Deployment Model 16.27.1. On-Premises 16.27.2. On-Demand 16.28. South Africa In-Memory database Market Forecast, by Organization Size 16.28.1. Small & Medium Enterprises 16.28.2. Large Enterprises 16.29. South Africa In-Memory database Market Forecast, by Vertical 16.29.1. Government and Defense 16.29.2. Manufacturing 16.29.3. Banking, Financial Deployment Models, and Insurance (BFSI) 16.29.4. Energy and Utilities 16.29.5. IT and Telecommunications 16.30. Rest of Middle East & Africa In-Memory database Market Forecast, by Application 16.30.1. Transaction 16.30.2. Reporting 16.30.3. Analytics 16.30.4. Others 16.31. Rest of Middle East & Africa In-Memory database Market Forecast, by Data Type 16.31.1. Relational 16.31.2. NoSQL 16.31.3. NewSQL 16.31.4. Managed Deployment Models and Web-based Application Programming Interface 16.32. Rest of Middle East & Africa In-Memory database Market Forecast, by Processing Type 16.32.1. Online Analytical Processing (OLAP) 16.32.2. Online Transaction Processing (OLTP) 16.33. Rest of Middle East & Africa In-Memory database Market Forecast, by Deployment Model 16.33.1. On-Premises 16.33.2. On-Demand 16.34. Rest of Middle East & Africa In-Memory database Market Forecast, by Organization Size 16.34.1. Small & Medium Enterprises 16.34.2. Large Enterprises 16.35. Rest of Middle East & Africa In-Memory database Market Forecast, by Vertical 16.35.1. Government and Defense 16.35.2. Manufacturing 16.35.3. Banking, Financial Deployment Models, and Insurance (BFSI) 16.35.4. Energy and Utilities 16.35.5. IT and Telecommunications 16.36. Middle East & Africa In-Memory database Market Attractiveness Analysis 16.36.1. By Application 16.36.2. By Data Type 16.36.3. By Processing Type 16.36.4. By Deployment Model 16.36.5. By Organization Size 16.36.6. By Vertical 16.37. PEST Analysis 17. Latin America In-Memory database Market Analysis 17.1. Key Findings 17.2. Latin America In-Memory database Market Overview 17.3. Latin America In-Memory database Market Value Share Analysis, by Application 17.4. Latin America In-Memory database Market Forecast, by Application 17.4.1. Transaction 17.4.2. Reporting 17.4.3. Analytics 17.4.4. Others 17.5. Latin America In-Memory database Market Value Share Analysis, by Data Type 17.6. Latin America In-Memory database Market Forecast, by Data Type 17.6.1. Relational 17.6.2. NoSQL 17.6.3. NewSQL 17.6.4. Managed Deployment Models and Web-based Application Programming Interface 17.7. Latin America In-Memory database Market Value Share Analysis, by Processing Type 17.8. Latin America In-Memory database Market Forecast, by Processing Type 17.8.1. Online Analytical Processing (OLAP) 17.8.2. Online Transaction Processing (OLTP) 17.9. Latin America In-Memory database Market Value Share Analysis, by Deployment Model 17.10. Latin America In-Memory database Market Forecast, by Deployment Model 17.10.1. On-Premises 17.10.2. On-Demand 17.11. Latin America In-Memory database Market Value Share Analysis, by Organization Size 17.12. Latin America In-Memory database Market Forecast, by Organization Size 17.12.1. Small & Medium Enterprises 17.12.2. Large Enterprises 17.13. Latin America In-Memory database Market Value Share Analysis, by Vertical 17.14. Latin America In-Memory database Market Forecast, by Vertical 17.14.1. Government and Defense 17.14.2. Manufacturing 17.14.3. Banking, Financial Deployment Models, and Insurance (BFSI) 17.14.4. Energy and Utilities 17.14.5. IT and Telecommunications 17.15. Latin America In-Memory database Market Value Share Analysis, by Country 17.16. Latin America In-Memory database Market Forecast, by Country 17.16.1.1. Brazil, 2019–2026 17.16.1.2. Mexico, 2019–2026 17.16.1.3. Rest of Latin America, 2019–2026 17.17. Latin America In-Memory database Market Analysis, by Country/ Sub-region 17.18. Brazil In-Memory database Market Forecast, by Application 17.18.1. Transaction 17.18.2. Reporting 17.18.3. Analytics 17.18.4. Others 17.19. Brazil In-Memory database Market Forecast, by Data Type 17.19.1. Relational 17.19.2. NoSQL 17.19.3. NewSQL 17.19.4. Managed Deployment Models and Web-based Application Programming Interface 17.20. Brazil In-Memory database Market Forecast, by Processing Type 17.20.1. Online Analytical Processing (OLAP) 17.20.2. Online Transaction Processing (OLTP) 17.21. Brazil In-Memory database Market Forecast, by Deployment Model 17.21.1. On-Premises 17.21.2. On-Demand 17.22. Brazil In-Memory database Market Forecast, by Organization Size 17.22.1. Small & Medium Enterprises 17.22.2. Large Enterprises 17.23. Brazil In-Memory database Market Forecast, by Vertical 17.23.1. Government and Defense 17.23.2. Manufacturing 17.23.3. Banking, Financial Deployment Models, and Insurance (BFSI) 17.23.4. Energy and Utilities 17.23.5. IT and Telecommunications 17.24. Mexico In-Memory database Market Forecast, by Application 17.24.1. Transaction 17.24.2. Reporting 17.24.3. Analytics 17.24.4. Others 17.25. Mexico In-Memory database Market Forecast, by Data Type 17.25.1. Relational 17.25.2. NoSQL 17.25.3. NewSQL 17.25.4. Managed Deployment Models and Web-based Application Programming Interface 17.26. Mexico In-Memory database Market Forecast, by Processing Type 17.26.1. Online Analytical Processing (OLAP) 17.26.2. Online Transaction Processing (OLTP) 17.27. Mexico In-Memory database Market Forecast, by Deployment Model 17.27.1. On-Premises 17.27.2. On-Demand 17.28. Mexico In-Memory database Market Forecast, by Organization Size 17.28.1. Small & Medium Enterprises 17.28.2. Large Enterprises 17.29. Mexico In-Memory database Market Forecast, by Vertical 17.29.1. Government and Defense 17.29.2. Manufacturing 17.29.3. Banking, Financial Deployment Models, and Insurance (BFSI) 17.29.4. Energy and Utilities 17.29.5. IT and Telecommunications 17.30. Rest of Latin America In-Memory database Market Forecast, by Application 17.30.1. Transaction 17.30.2. Reporting 17.30.3. Analytics 17.30.4. Others 17.31. Rest of Latin America In-Memory database Market Forecast, by Data Type 17.31.1. Relational 17.31.2. NoSQL 17.31.3. NewSQL 17.31.4. Managed Deployment Models and Web-based Application Programming Interface 17.32. Rest of Latin America In-Memory database Market Forecast, by Processing Type 17.32.1. Online Analytical Processing (OLAP) 17.32.2. Online Transaction Processing (OLTP) 17.33. Rest of Latin America In-Memory database Market Forecast, by Deployment Model 17.33.1. On-Premises 17.33.2. On-Demand 17.34. Rest of Latin America In-Memory database Market Forecast, by Organization Size 17.34.1. Small & Medium Enterprises 17.34.2. Large Enterprises 17.35. Rest of Latin America In-Memory database Market Forecast, by Vertical 17.35.1. Government and Defense 17.35.2. Manufacturing 17.35.3. Banking, Financial Deployment Models, and Insurance (BFSI) 17.35.4. Energy and Utilities 17.35.5. IT and Telecommunications 17.36. Latin America In-Memory database Market Attractiveness Analysis 17.36.1. By Application 17.36.2. By Data Type 17.36.3. By Processing Type 17.36.4. By Deployment Model 17.36.5. By Organization Size 17.36.6. By Vertical 17.37. PEST Analysis 18. Company Profiles 18.1. Market Share Analysis, by Company 18.2. Competition Matrix 18.3. Company Profiles: Key Players 18.3.1. IBM Corp. 18.3.1.1. Company Overview 18.3.1.2. Financial Overview 18.3.1.3. Business Strategy 18.3.1.4. Recent Developments 18.3.1.5. Manufacturing Footprint 18.3.2. Microsoft Corporation 18.3.3. SAP SE 18.3.4. Oracle Corporation 18.3.5. Teradata Corporation 18.3.6. Amazon Web Services 18.3.7. Tableau software 18.3.8. Kognitio Ltd. 18.3.9. VoltDB 18.3.10. DataStax 18.3.11. ENEA 18.3.12. McObject LLC 18.3.13. Altibase Corporation 18.3.14. Activeviam 18.3.15. Aerospike 18.3.16. MemSQL 18.3.17. Sqlite 18.3.18. Starcounter 18.3.19. Pointillist 18.3.20. Quadient 18.3.21. Kitewheel 19. Primary Key Insights

About This Report

Report ID 13339
Category Information Technology & Telecommunication
Published Date sep 2019
Updated Date Dec 2020
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